• Title/Summary/Keyword: smart control and analysis

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The effects of Maternal Parenting Behavior, Smart Devices Addiction, and Children's Self Regulation on Their Use of Smart Devices (유아의 자기조절, 어머니의 양육행동과 스마트기기 중독이 유아의 스마트기기 이용에 미치는 영향)

  • Kim, Min Hee
    • Korean Journal of Childcare and Education
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    • v.11 no.6
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    • pp.133-151
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    • 2015
  • The aim of this study was to examine how children's self control, mother's addiction to smart devices and parenting behavior influence the way young children used smart devices. Participants were made up of 166 preschoolers and their mothers. Descriptive analysis, Pearson's correlation coefficient, and hierarchical regression analysis were used for statistical analysis. The results were as follows: First, children in their early childhood years used smart devices once or twice a week, for ten to thirty minutes, mainly during weekends. Children in their early childhood stage started to use smart devices before reaching the age of 3, and accessed them through their parents, usually along with their siblings. Parents allowed their children to use smart devices for fun and entertainment, with only 66.3% of them setting rules. Second, the mother's tendency to be immersed in smart devices, overprotection and permission were positively correlated to young children's overusage of smart devices, whereas geniality, encouragement, setting limits, and children's self control were negatively correlated. The study also found that the mother's tendency of being immersed in smart devices was the most influential factor for their children's overusage of smart devices. The value of this study lies in providing practical suggestions for children's smart device usage and parental education programs.

A Study on the Design of the Motor Driving a Control-Rod for SMART (원자로 제어봉 구동용 전동기의 설계에 관한 연구)

  • Jeong, Y.H.;Kang, D.H.;Kim, J.M.;Im, T.Y.
    • Proceedings of the KIEE Conference
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    • 2000.07b
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    • pp.714-716
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    • 2000
  • In the System-integrated modular advanced reactor(SMART), the motor for Control element drive mechanism(CEDM) requires high density power and simple drive mechanism to reduce volume because of restriction by install-space and must satisfy the reactor operating circumstances with high pressure and temperature. In this paper, we perform the basic design of the two kinds (Variable reluctance type and Hibrid-reluctance type) of the transverse flux motor to develop the prototype motor for the control element drive mechanism of SMART. Analyzed these motors by the FEM in the 2-dimension, we show the characteristics for each of the analysis model.

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Smart IoT Home Data Analysis and Device Control Algorithm Using Deep Learning (딥 러닝 기반 스마트 IoT 홈 데이터 분석 및 기기 제어 알고리즘)

  • Lee, Sang-Hyeong;Lee, Hae-Yeoun
    • KIPS Transactions on Computer and Communication Systems
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    • v.7 no.4
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    • pp.103-110
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    • 2018
  • Services that enhance user convenience by using various IoT devices are increasing with the development of Internet of Things(IoT) technology. Also, since the price of IoT sensors has become cheaper, companies providing services by collecting and utilizing data from various sensors are increasing. The smart IoT home system is a representative use case that improves the user convenience by using IoT devices. To improve user convenience of Smart IoT home system, this paper proposes a method for the control of related devices based on data analysis. Internal environment measurement data collected from IoT sensors, device control data collected from device control actuators, and user judgment data are learned to predict the current home state and control devices. Especially, differently from previous approaches, it uses deep neural network to analyze the data to determine the inner state of the home and provide information for maintaining the optimal inner environment. In the experiment, we compared the results of the long-term measured data with the inferred data and analyzed the discrimination performance of the proposed method.

Development of User Oriented Vulnerability Analysis Application on Smart Phone (사용자 중심의 스마트폰 보안 취약성 분석 어플리케이션 개발)

  • Cho, Sik-Wan;Jang, Won-Jun;Lee, Hyung-Woo
    • Journal of the Korea Convergence Society
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    • v.3 no.2
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    • pp.7-12
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    • 2012
  • An advanced and proactive response mechanism against diverse attacks should be proposed for enhance its security and reliability on android based commercial smart work device. In this study, we propose a user-oriented vulnerability analysis and response system on commercial smart work device based on android when diverse attacks are activated. Proposed mechanism uses simplified and optimized memory for monitoring and detecting the abnormal behavior on commercial smart work device, with which we can find and determine the attacker's attempts. Additionally, proposed mechanism provides advanced vulnerability analysis and monitoring/control module.

Vulnerability analysis of smart key for vehicle and countermeasure against hacking attack (차량용 스마트키 취약점 분석과 해킹공격 대응방안)

  • Kim, Seung-woo;Park, Dea-woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.302-305
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    • 2017
  • With the development of new ICT technology, new technologies are being applied to automobiles. The smart key for vehicles is also a device to which ICT new technology is applied. Therefore, a cyber-hacking attack against a smart key of a vehicle is possible. The cyber attack on the smart key can cause an abnormal control of the vehicle. Vehicle control can lead to vehicle hijacking and vehicle control risks. In this paper, we analyze the vulnerability of smart key for vehicle. Analyze cyber attacks against smart keys in vehicles. Then, we conduct real hacking attacks on smart keys for vehicles and propose countermeasures. We conduct a hacking attack against the smart key for vehicle that has devised countermeasures and analyze countermeasures against cyber attack security. This paper will contribute to the prevention of vehicle deodorization and to the safety of the people.

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A Study on the Development of Artificial Intelligence Crop Environment Control Framework

  • Guangzhi Zhao
    • International Journal of Internet, Broadcasting and Communication
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    • v.15 no.2
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    • pp.144-156
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    • 2023
  • Smart agriculture is a rapidly growing field that seeks to optimize crop yields and reduce risk through the use of advanced technology. A key challenge in this field is the need to create a comprehensive smart farm system that can effectively monitor and control the growth environment of crops, particularly when cultivating new varieties. This is where fuzzy theory comes in, enabling the collection and analysis of external environmental factors to generate a rule-based system that considers the specific needs of each crop variety. By doing so, the system can easily set the optimal growth environment, reducing trial and error and the user's risk burden. This is in contrast to existing systems where parameters need to be changed for each breed and various factors considered. Additionally, the type of house used affects the environmental control factors for crops, making it necessary to adapt the system accordingly. While developing such a framework requires a significant investment of labour and time, the benefits are numerous and can lead to increased productivity and profitability in the field of smart agriculture. We developed an AI platform for optimal control of facility houses by integrating data from mushroom crops and environmental factors, and analysing the correlation between optimal control conditions and yield. Our experiments demonstrated significant performance improvement compared to the existing system.

Analysis of Field Conditions and Requirements for Deploying Smart Factory (스마트공장 구축을 위한 현장실태 및 요구사항 분석)

  • Lee, Hyunjeong;Kim, Yong Jin;Yim, Jeongil;Kim, Yong-Woon;Lee, Soo-Hyung
    • Journal of the Korean Society for Precision Engineering
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    • v.34 no.1
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    • pp.29-34
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    • 2017
  • The operating environments of factories and manufacturing units have changed dramatically due to globalization, population, and customization. The existing factories are converted into smart units using information and communications technology (ICT). These smart factories can produce, control, repair, and manage themselves. The manufacturing processes are efficiently optimized using the monitoring and analysis methods of ICT. In this experimental study, we carried out a survey on the system solution providers and consumer companies to determine the field conditions and requirements necessary for assembling a smart factory. Using the results of this survey, we effectively devised smart factory solutions and implemented them on the existing conditions in various factories.

Trends of Daylight Environment for Office Spaces Based on Smart-Window Installation Settings (스마트 윈도우 설치 속성에 따른 사무공간의 주광 환경 추이)

  • Jae-Hyang Kim;Seung-Hoon Han
    • New & Renewable Energy
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    • v.19 no.3
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    • pp.13-21
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    • 2023
  • Smart windows are capable of varying their visible light transmittance (VLT) in response to changing environmental conditions. The VLT variability of architectural windows is highly valuable because it enables indoor lighting and energy environments to align with external changes. However, challenges such as high installation costs and assurance of glass visibility have prompted the exploration of alternative solutions, including models incorporating partially applied smart windows., Prior research focused on useful daylight illuminance (UDI) analysis for south-facing office buildings, pointing out suitable areas for smart-window implementation to enhance lighting control. In this study, we broadened this scope by determining optimal smart-window application zones under changing building orientation. Furthermore, we studied the correlation between building orientation and smart-window deployment areas.

Postural Control Strategies on Smart Phone use during Gait in Over 50-year-old Adults (50세 이상 성인의 보행 시 스마트폰 사용에 따른 자세 조절 전략)

  • Yu, Yeon Joo;Lee, Ki Kwang;Lee, Jung Ho;Kim, Suk Bum
    • Korean Journal of Applied Biomechanics
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    • v.29 no.2
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    • pp.71-77
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    • 2019
  • Objective: The aim of this study was to investigate postural control strategies on smart phone use during gait in over 50-year-old adults. Method: 8 elderly subjects (age: $55.5{\pm}3.29yrs$, height: $159.75{\pm}4.20cm$, weight: $62.87{\pm}8.44kg$) and 10 young subjects (age: $23.8{\pm}3.19yrs$, height: $158.8{\pm}5.97cm$, weight: $53.6{\pm}5.6kg$) participated in the study. They walked at a comfortable pace in a gaitway of ~8 m while: 1) reading text on a smart phone, 2) typing text on a smart phone, or 3) walking without the use of a phone. Gait parameters and kinematic data were evaluated using a three-dimensional movement analysis system. Results: The participants read or wrote text messages they walked with: slower speed; lesser stride length and step width; greater flexion range of motion of the head; more flexion of the thorax in comparison with normal walking. Conclusion: Texting or reading message on a smart phone while walking may pose an additional risk to pedestrians' safety.

Thermal Analysis of Electromagnet for SMART Control Element Drive Mechanism (SMART용 볼너트-스크류형 제어봉구동장치에 장착되는 전자석의 열해석)

  • Huh, Hyung;Kim, Ji-Ho;Kim, Jong-In
    • Proceedings of the KIEE Conference
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    • 1999.11b
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    • pp.98-100
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    • 1999
  • A thermal analysis was performed for the electromagnet which is installed in the control element drive mechanism(CEDM) of the integral reactor SMART. A model for the thermal analysis of the electromagnet was developed and theoretical bases for the model were established. It is important that the temperature of the electromagnet windings be maintained within the allowable limit of the insulation, since the electromagnet of CEDM is always supplied with current during the reactor operation. So the thermal analysis of the winding insulation which is composed of polyimide and air were performed by finite element method. The thermal properties obtained here will be used as input for the optimization analysis of the electromagnet.

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